Please forward to anyone who might find it of benefit.
Missing Data: Effectively Dealing with Missing Data Without Biasing your Results
http://theanalysisinstitute.com/workshops/Missing-Data
Begins June 2, 2011
8-hour Workshop over five weeks
$397, 40% student discount available
Each week’s online lessons contain video material you can watch on your own time, exercises, written support material including SAS and SPSS syntax code, and weekly live Question & Answer Webinar Sessions with the instructor, Karen Grace-Martin. Ongoing support is included through access to the workshop website for a full year.
Missing Data is one area of statistics that has blossomed in the past 10 years. Multiple Imputation and Maximum Likelihood solutions that give unbiased results for most missing data problems are now available in mainstream software. There isn't a reason (or an excuse) to keep struggling with listwise deletion or outdated imputation methods, which can cause bias and lack of power.
This workshop will give you:
-- a solid understanding of traditional and modern approaches to dealing with Missing Data;
-- the advantages, disadvantages, issues, and appropriate situations for using each;
-- and the step-by-step process of how to diagnose your missing data, choose an approach, and implement it in SPSS and SAS.
Workshop details on the registration page.
http://theanalysisinstitute.com/workshops/Missing-Data
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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